Brian Croxall provides an informative and realistic look at what digital approaches to humanities can and cannot do.
Data need interpretation Data don’t have to be big. Data aren’t always the answer
People new to text mining are often disillusioned when they figure out how it’s actually done — which is still, in large part, by counting words. They’re willing to believe that computers have developed some clever strategy for finding patterns in language — but think “surely it’s something better than that?“
Our goalThe DH Community is a program of Wake Forest's Humanities Institute. We are faculty from across campus interested in investigating the emergence of digital humanities as a field of study, and its relevance and usefulness as a research and teaching tool in the humanities.
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Tag Cloudadministration advocacy alan liu Alan Turing Artificial Intelligence big data careers close reading crowdsourcing database design digital curation digital pedagogy digital projects digital scholarship digitization distant reading funding hastac history internet italy language liberal arts mapping media collections methods multimedia multimodal net neutrality pedagogy peer review quantitative analysis resource resources science sentiment analysis southern history statistics symposium teaching textual analysis THATCamp transcription venice word frequency